Model comparison
Qwen3 14B vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 35.5 on the Noometry Index.
Last verified . 3 shared benchmarks.
Alibaba (Qwen)Summary
- They share 3 benchmarks with published results for both. Qwen3 14B scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 4 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Qwen3-Next 80B-A3B Instruct leads 31.1 to 18.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 49.1% for Qwen3 14B and 66.7% for Qwen3-Next 80B-A3B Instruct.
- Qwen3 14B is cheaper at $0.35 / $1.40 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
Side by side
| Qwen3 14B | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | Alibaba (Qwen) |
| Noometry Index | 35.5 | 43.0 |
| Released | 2025-04 | 2025-09 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 8K | 33K |
| Input $ / M tokens | $0.35 | $0.50 |
| Output $ / M tokens | $1.40 | $2 |
| Results tracked | 12 | 25 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Qwen3 14B: 37.3 (#195), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Qwen3 14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| SciCode | 31.6% | — |
| LMArena Coding | — | 1440 |
Agentic & Tool Use Not comparable
Qwen3 14B: 29.6 (#83), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Qwen3 14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 41% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Qwen3 14B: 18.5 (#280), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Qwen3 14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 49.1% | 66.7% |
| CritPt | 0% | — |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | — | 1428 |
| DTBench | 64% | — |
| LMCA | 18.2% | — |
| Epoch Capabilities Index | 138.23 | — |
Math Too close to call
Qwen3 14B: 38.6 (#133), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Qwen3 14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 66.4% | — |
| Omni-MATH | — | 46.7% |
| LMArena Math | — | 1440 |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Qwen3 14B: 39.3 (#134), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Qwen3 14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vectara Hallucination Rate | 5.4% | 9.3% |
| GPQA Diamond | 63.8% | — |
| MMLU-Pro | — | 78.6% |
| GPQA (HELM) | — | 63% |
| LMArena Expert | — | 1417 |
Multilingual Not comparable
Qwen3 14B: —, Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Qwen3 14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | — | 1407 |
| LMArena Chinese | — | 1460 |
| LMArena French | — | 1413 |
| LMArena German | — | 1417 |
| LMArena Japanese | — | 1395 |
| LMArena Korean | — | 1364 |
| LMArena Russian | — | 1404 |
| LMArena Spanish | — | 1435 |
Instruction Following Not comparable
Qwen3 14B: —, Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Qwen3 14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| IFEval | — | 81% |
| LMArena Instruction Following | — | 1389 |
Long Context Qwen3 14B leads
Qwen3 14B: 38.1 (#204), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Qwen3 14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | 62.5% | 55.6% |
| LMArena Longer Query | — | 1403 |
Writing & Preference Not comparable
Qwen3 14B: —, Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Qwen3 14B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | — | 1417 |
| LMArena Creative Writing | — | 1334 |
| WildBench | — | 80.7% |
| LMArena Multi-Turn | — | 1416 |
Frequently asked questions
Is Qwen3 14B better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 35.5 on the Noometry Index.
Which is cheaper, Qwen3 14B or Qwen3-Next 80B-A3B Instruct?
Qwen3 14B is cheaper. It lists at $0.35 per million input tokens and $1.40 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is Qwen3 14B or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 37.3 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Qwen3 14B and Qwen3-Next 80B-A3B Instruct share?
3 benchmarks have published results for both models. Qwen3 14B has 12 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.